Nonlinear model predictive control for the ALSTOM gasifier.
| dc.contributor.author | Al Seyab, Rihab Khalid Shakir | - |
| dc.contributor.author | Cao, Yi | - |
| dc.date.accessioned | 2011-11-13T23:31:04Z | |
| dc.date.available | 2011-11-13T23:31:04Z | |
| dc.date.issued | 2006-09-01T00:00:00Z | - |
| dc.description.abstract | In this work a nonlinear model predictive control based on Wiener model has been developed and used to control the ALSTOM gasifier. The 0% load condition was identified as the most difficult case to control among three operating conditions. A linear model of the plant at 0% load is adopted as a base model for prediction. A nonlinear static gain represented by a feedforward neural network was identified for a particular output channel—namely, fuel gas pressure, to compensate its strong nonlinear behaviour observed in open-loop simulations. By linearising the neural network at each sampling time, the static nonlinear model provides certain adaptation to the linear base model at all other load conditions. The resulting controller showed noticeable performance improvement when compared with pure linear model based predictive contro | en_UK |
| dc.identifier.citation | R.K. Al Seyab and Y. Cao, Nonlinear model predictive control for the ALSTOM gasifier, Journal of Process Control, Volume 16, Issue 8, September 2006, Pages 795-808. | - |
| dc.identifier.issn | 0959-1524 | - |
| dc.identifier.uri | http://dx.doi.org/10.1016/j.jprocont.2006.03.003 | - |
| dc.identifier.uri | http://dspace.lib.cranfield.ac.uk/handle/1826/1130 | |
| dc.language.iso | en_UK | - |
| dc.publisher | Elsevier Science B.V., Amsterdam. | en_UK |
| dc.subject | Predictive control | en_UK |
| dc.subject | Gasification | en_UK |
| dc.subject | Wiener model | en_UK |
| dc.subject | Feedforward neural networks | en_UK |
| dc.subject | Linearisation | en_UK |
| dc.title | Nonlinear model predictive control for the ALSTOM gasifier. | en_UK |
| dc.type | Article | - |